- Company Name
- Fusemachines
- Job Title
- AI Product Manager
- Job Description
-
Job title
AI Product Manager
Role Summary
Lead product ownership of AI‑driven features within an enterprise BI platform, translating customer needs and market opportunity into scalable, conversational‑interface solutions that enhance data exploration, insight generation, and workflow automation.
Expectations
- Deliver AI product roadmap that aligns with business growth and customer success.
- Maintain high quality, explainability, and compliance of AI models and data pipelines.
- Collaborate cross‑functionally with engineering, design, data science, and commercial teams to launch features on time and within scope.
Key Responsibilities
- Lead cross‑functional teams to design, develop, and launch AI features.
- Identify high‑value workflows where AI reduces friction, modernizes user experience, and delivers trusted outcomes.
- Translate market opportunities into detailed AI requirements using ML, NLP, LLMs, RAG, and predictive analytics.
- Own user research, usability testing, and KPI measurement for AI features.
- Create wireframes, prototypes, and user flows for AI‑driven experiences.
- Conduct competitive analysis to inform AI trend adoption.
- Partner with commercial teams on demos, narratives, and sales enablement.
- Gather customer feedback and analytics to iterate AI capabilities.
- Track feature performance, run A/B tests, and advise on continuous optimization.
- Integrate external AI models/APIs ensuring ethical use, compliance, and data governance.
- Facilitate client onboarding, integration, and support for AI solutions.
Required Skills
- Product management (3–5 years) with experience in AI/ML, SaaS, or analytics platforms.
- 2–4 years of consumer insights, media, advertising, or research with AI exposure.
- Proficient in AI/ML frameworks, cloud environments, LLMs, Generative AI, or RAG architectures.
- Hands‑on experience validating AI quality, data reliability, and conducting QA.
- Ability to create wireframes and work in Agile (Scrum/Kanban) environments.
- Deep understanding of consumer insight needs, media ecosystems, and monetization dynamics.
- Strong stakeholder management, communication, and ability to translate AI concepts to technical and non‑technical audiences.
- Experience collaborating with commercial teams, clients, and deploying AI or cloud‑based solutions at scale (plus).
Required Education & Certifications
- Bachelor’s degree in Computer Science, Engineering, Data Science, Business, or related field (Master’s preferred).
- Certifications in Product Management (e.g., PMP, CSPO) and foundational AI/ML courses are advantageous.